Agent skill · Code Review & Quality

master-thesis-review

Generate master's thesis review reports (硕士论文评阅意见) calibrated to a given score. Outputs academic evaluation and shortcomings/suggestions in Chinese. Trigger when user says "master thesis review" / "硕士论文评阅" / "论文评阅" / "评阅意见" / "thesis review".

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codecan modify filesNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill master-thesis-review --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Allowed tools: ReadWriteGlobGrepAskUserQuestionBash
Path: skills/67-econfin-workflow-toolkit/master-thesis-review/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Master Thesis Review (硕士论文评阅意见) ## Overview This skill generates a **master's thesis review report** (硕士学位论文评阅意见) for a given thesis. The user provides the thesis file and a score (out of 100). The skill reads the thesis, then generates two sections calibrated to the score level. **Input**: - A project folder containing the thesis (`*.pdf`, `*.tex`, or `*.docx`) - A score from the user (integer,

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About this skill
What does the master-thesis-review skill do?

Generate master's thesis review reports (硕士论文评阅意见) calibrated to a given score. Outputs academic evaluation and shortcomings/suggestions in Chinese. Trigger when user says "master thesis review" / "硕士论文评阅" / "论文评阅" / "评阅意见" / "thesis review".

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill master-thesis-review --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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